Bielefeld Center for Data Science
Data science is an interdisciplinary and holistic approach that aims at turning data into knowledge and value. It includes
- the extraction, preparation, exploration, transformation, storage and retrieval of quantitative (“structured”) and qualitative (“unstructured”) data
as well as
- the explanation, interpretation and exploitation of results using techniques from
- statistics, computer science and a wide range of application areas.
In addition, data science focuses on the (further) development of new methods and competencies as well as on research data management and data security.
Data Science-"Life Cycle"
Bielefeld Center for Data Science (BiCDaS) is a university-wide initiative encompassing a wide range of disciplines interested in data science. It combines existing expertise in
- statistics, machine learning and research data management
as well as in application areas such as (in alpha order)
- biology, business administration, computer science, data management, economics, information technology, digital humanities, law, librarianship, linguistics, physics, psychology, public health and sociology
in order to turn quantitative (“structured”) and qualitative (“unstructured”) data into knowledge and value.
The center acts as a focal point for researchers and students who enjoy the profound exchange on new challenges and solutions in data science.
Key Elements of BiCDaS
Date: March 19th - 21th, 2018
Place: ZiF, Bielefeld University
Aim: This years Symposium will be about BigData. BiCDaS is co-organiser.
Fifth Lecture online
The fifth lecture of our lecture series on Data Science in online.
BiCDaS member Prof. Ellen Baake has been elected to the board of the European Society for Mathematical and Theoretical Biology (ESMTB). Congratulations!
BiCDaS @ EuADS
BiCDaS member Prof. Reinhold Decker has been elected to the board of the European Association for Data Science. Congratulations!
BiCDaS in the Media
Recently BiCDaS and the future master degree course on Data Science a Bielefeld University were covered in an article by Frankfurter Allgemeine Zeitung (FAZ).
The article can be found here.
Fourth Lecture online
The fourth lecture of our lecture series on Data Science in online.
Big Data Science in Astroparticle Research
Date: February 19th - 21st, 2018
Place: RWTH Aachen University
Aim: The Workshop will deal with the application of methods from Data Science and BigData (particularly Deep Learning) to astrophysics.
Lecture Series Data Science
This winter term we offer a lecture series on Data Science.
Data Intensive Science
The next talk of the lecture series Data Science will be on February 2nd.
Data in Data Science
The next talk of the lecture series Data Science will be on January 26th.
Auditory Data Science
The next talk of the lecture series Data Science will be on January 12th.